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Fun Maximizing Search, (Non) Instance Optimality, and Video Games for Parrots (2403.06547v1)
Published 11 Mar 2024 in cs.DS
Abstract: Computerized Adaptive Testing (CAT) measures an examinee's ability while adapting to their level. Both too many questions and too many hard questions can make a test frustrating. Are there some CAT algorithms which can be proven to be theoretically better than others, and in which framework? We show that slightly extending the traditional framework yields a partial order on CAT algorithms. For uni-dimensional knowledge domains, we analyze the theoretical performance of some old and new algorithms, and we prove that none of the algorithms presented are instance optimal, conjecturing that no instance optimal can exist for the CAT problem.
- The discrimination of discrete and continuous amounts in African grey parrots (Psittacus Erithacus). Animal cognition 12 (09 2008), 145–54. https://doi.org/10.1007/s10071-008-0178-8
- Jérémy Barbay††{}^{\dagger}start_FLOATSUPERSCRIPT † end_FLOATSUPERSCRIPT. 2021. From Adaptive Analysis to Instance Optimality. In Beyond the Worst-Case Analysis of Algorithms, Tim Roughgarden (Ed.). Cambridge University Press, Cambridge, Chapter 3, 52–71. https://doi.org/10.1017/9781108637435.005
- Jon Louis Bentley and Andrew Chi-Chih Yao. 1976. An almost optimal algorithm for unbounded searching. Information Processing Letters (IPL) 5, 3 (1976), 82–87.
- Gerth Stølting Brodal. 1998. Finger search trees with constant insertion time. In Proceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms (SODA) (San Francisco, California, United States). Society for Industrial and Applied Mathematics, unknown, 540–549.
- Collective. 2024a. https://en.wikipedia.org/wiki/Ethology. Last accessed on [2023-04-16 Sun].
- Collective. 2024b. https://en.wikipedia.org/wiki/Citizen_science. Last accessed on [2024-02-26 Mon].
- Measuring Discrimination Abilities of Monk Parakeets Between Discreet and Continuous Quantities Through a Digital Life Enrichment Application. In Proceedings of the Conference Animal Computer Interaction (ACI). ACM Digital Library, Association for Computing Machinery 1601 Broadway, 10th Floor New York, NY, 1–14. https://doi.org/10.1145/3565995.3566040
- Sana Inoue and Tetsuro Matsuzawa. 2007. Working memory of numerals in chimpanzees. Current Biology 17, 23 (2007), R1004–R1005.
- David G. Kirkpatrick and Raimund Seidel. 1985. Output-size Sensitive Algorithms for Finding Maximal Vectors. In Proceedings of the Annual Symposium on Computational Geometry (SoCG). ACM, New York, NY, USA, 89–96.
- David G Kirkpatrick and Raimund Seidel. 1986. The Ultimate Planar Convex Hull Algorithm? SIAM Journal of Computing (SJC) 15, 1 (1986), 287–299.
- Donald Ervin Knuth. 1968. The art of computer programming / Donald E. Knuth. Addison-Wiley, Reading, Mass., :, New York. 3 v. : pages.
- Donald E. Knuth. 1998. Art of Computer Programming, Volume 3: Sorting and Searching (2nd Edition). Addison-Wesley Professional, http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20&path=ASIN/0201896850.
- Dogs or Not Dogs? Examining ACI Authors’ Reporting on Animal Participants’ Willingness to Engage in Research: A Spotlight on Mediated and Contingent Consent. In Proceedings of the Conference Animal Computer Interaction (ACI). unknown, unknown, 1–13. https://doi.org/10.1145/3637882.3637888
- The NASA/LRC computerized test system. Behavior Research Methods, Instruments, and Computers 22 (1990), 127–131. https://doi.org/10.3758/BF03203132.
- Alan Silberberg and David Kearns. 2009. Memory for the order of briefly presented numerals in humans as a function of practice. Animal cognition 12 (03 2009), 405–7. https://doi.org/10.1007/s10071-008-0206-8
- Instance-Optimal Geometric Algorithms. Journal of the ACM (JACM) 64, 1, Article 3 (2017), 38 pages.
- Michael Trestman. 2015. Clever Hans, Alex the Parrot, and Kanzi: What can exceptional animal learning teach us about human cognitive evolution? (2015).
- Purrfect Crime: Exploring Animal Computer Interaction through a Digital Game for Humans and Cats. In Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (Seoul, Republic of Korea) (CHI EA ’15). Association for Computing Machinery, New York, NY, USA, 93–96. https://doi.org/10.1145/2702613.2728660
- Beyond challenge-seeking and skill-building: Toward the lifespan developmental perspective on flow theory. The Journal of Positive Psychology 15 (02 2019), 1–12. https://doi.org/10.1080/17439760.2019.1579362